Linode MCP Server
Linode MCP 服务器
一个模型上下文协议 (MCP) 服务器,用于与 Linode 的 API 交互以管理云资源。此软件包支持 Claude 等大型语言模型 (LLM) 通过标准化接口管理 Linode 实例。
特征
列出 Linode 区域、实例类型和实例
创建、查看详细信息、删除和重启 Linode 实例
安全且易于使用的界面,方便 LLM 管理 Linode 资源
与 Claude 等支持 MCP 的 AI 助手完全兼容
Related MCP server: Hetzner Cloud MCP Server
安装和配置
将您的 Linode API 密钥设置为环境变量:
export LINODE_API_KEY=your_api_key_here或者使用项目目录中的.env文件:
LINODE_API_KEY=your_api_key_here您可以从Linode Cloud Manager生成 API 密钥。
来自 PyPI(推荐)
pip install linode-mcp使用 uv
uvx pip install linode-mcp
uvx linode-mcp --api-key $LINODE_API_KEY来自源
# Clone the repository
git clone https://github.com/yourusername/linode-mcp.git
cd linode-mcp
# Install the package in development mode
./scripts/install.sh用法
作为命令行工具
# Run with default settings
linode-mcp
# Enable debug logging
linode-mcp --debug
# Specify API key on command line
linode-mcp --api-key your_api_key_here使用 Claude 桌面版
安装软件包:
pip install linode-mcp手动编辑您的 Claude Desktop 配置文件:
MacOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
{ "mcpServers": { "linode": { "command": "linode-mcp", "args": ["--api-key", "your_api_key_here"] } } }重启 Claude 桌面版
在与 Claude 的对话中,您现在可以要求它:
列出您的 Linode 实例
创建新的Linode实例
获取有关特定实例的详细信息
重启或删除实例
提示示例:
“显示我所有的 Linode 实例”
“使用 Debian 11 在法兰克福地区创建一个新的 2GB Linode”
“重启我的 ID 为 12345 的实例”
可用工具
该软件包提供了以下 MCP 工具:
list_regions- 列出所有可用的 Linode 区域
待添加:
list_instance_types- 列出所有可用的 Linode 实例类型及其定价list_instances- 列出所有现有的 Linode 实例create_instance创建一个新的 Linode 实例get_instance- 获取有关特定 Linode 实例的详细信息delete_instance- 删除 Linode 实例reboot_instance- 重新启动 Linode 实例
发展
项目结构
linode-mcp/
├── bin/ # Command-line scripts
├── src/ # Source code
│ └── linode_mcp/ # Main package
│ ├── tools/ # MCP tool implementations
│ └── server.py # MCP server implementation
├── setup.py # Package setup file
└── README.md # This file贡献
欢迎贡献代码!欢迎提交 Pull 请求。
分叉存储库
创建你的功能分支(
git checkout -b feature/amazing-feature)提交您的更改(
git commit -m 'Add some amazing feature')推送到分支(
git push origin feature/amazing-feature)打开拉取请求
执照
该项目根据 MIT 许可证获得许可 - 有关详细信息,请参阅LICENSE文件。
致谢
Linode API用于提供云基础设施 API
标准接口规范的模型上下文协议
Claude的 AI 助手功能
Available Tools
1 toollist_regionsA
List all available Linode regions
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description implies a read-only operation, but does not explicitly state behavioral traits such as idempotency, caching, or rate limits. With no annotations, this is adequate for a simple list tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with five words, perfectly concise and front-loaded. No unnecessary information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the trivial nature (no parameters, simple list operation, output schema exists), the description provides complete context for an agent to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has no parameters, so schema coverage is 100%. The description does not need to add parameter details. Baseline score of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List') and the resource ('all available Linode regions'), with no ambiguity. There are no sibling tools to distinguish from, so the purpose is precisely conveyed.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use when a full list of regions is needed, but does not explicitly state when to use or not use it, nor provide alternatives. Given no siblings, this is acceptable but not maximally helpful.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- Changed
list_regions1 field changed- added
Input schema / titleAdded value: +"list_regionsArguments"
1 tool update
- First observed
list_regions
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'list_regions' has a clear and distinct purpose that cannot be confused with any other tool in this set.
The naming follows a consistent verb_noun pattern ('list_regions'), and with only one tool, there is no inconsistency to evaluate. The pattern is clear and predictable for any potential future tools.
A single tool is too few for a server named 'Linode MCP Server', which implies broader cloud management capabilities. This feels thin and incomplete for managing Linode resources, as it only covers region listing without any operations for instances, volumes, networking, or other core features.
The tool surface is severely incomplete for a Linode server. It only lists regions, missing essential CRUD operations for instances, volumes, networking, DNS, and other Linode services. This leaves significant gaps that will cause agent failures in typical cloud management tasks.
Maintenance
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